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CHINOY SENCS

CHINOY SEN

@chinoysen

Operation Trainee at Sical Logistics Ltd.

Bhubaneswar, India

Sical Logistics Ltd.(CCD Group)Imarticus Learning

Chinoy Sen is an aspiring Data Scientist with a post-graduation in Data Analytics from Imarticus Learning. He has acquired technical skills in R, Python, SQL, and Power BI, complemented by professional experience in operations and sales within the logistics and finance sectors. He is focused on growing in the data science field through continuous learning.

Experience

Operation Trainee

Sical Logistics Ltd.(CCD Group)

•Apr 2019 - Dec 2019

Monthly and quarterly financial reports, area wise and by sales representative using Power BI. Forecasting sales and target on a monthly basis using Power BI. Sales executive and vendor management. Daily administration and backend operations.

Management Intern

Motilal Oswal Securities Ltd.

Internship•Feb 2018 - May 2018

Competitive analysis of different investment products. Restructuring of client’s portfolio with supervision. Managing minutes and transcripts of conference meeting.

Sr. Executive

Angel Broking Pvt. Ltd.

•Jan 2015 - Feb 2016

End to end sales of demat and trading account. Customer care service post sales. Weekly submission of technical report of sales performance.

Education

Imarticus Learning

Post-Graduation

Data Analytics

Jan 2022

Statistics Fundamentals and R, Data Science with Python, Data Science with R, SQL Programming, Data Visualization with Tableau and Power BI

ICFAI Business School Mumbai

Masters of Business Administration

Jan 2015 - Jan 2017•Grade: 73.1%

Jai Hind College, Mumbai University

Bachelors of Science

Microbiology

Jan 2011 - Jan 2015•Grade: 67.4%

Licenses & Certifications

Financial Modelling

Forevision

Issued: Jan 2017

Introduction to Power BI

Udemy

Diploma in Graphic Designing

Shaw Academy

• No expiration

Skills

Python
SQL
MySQL
R
Power BI
Tableau
Matplotlib
Seaborn
Machine Learning
Statistics
NLP
Excel
Predictive Analysis
Hypothesis testing
PCA
Text Analytics
Univariate analysis
Bi-variate analysis
Classification
Regression
Clustering techniques
Decision trees
TF-IDF
Vectorization
NLTK
Spacy